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KEEL-dataset - data set description
dataset/images/lymphography.jpg



This section describes main characteristics of the lymphography data set and its attributes:

General information

Lymphography data set
TypeClassificationOriginReal world
Features 18(Real / Integer / Nominal)(0 / 3 / 15)
Instances148 Classes4
Missing values?No

Attribute description

AttributeDomainAttributeDomain
Lymphatics{normal,arched,deformed,displaced}Lym_nodes_enlar[1,4]
Block_of_affere{no,yes}Changes_in_lym{bean,oval,round}
Bl_of_lymph_c{no,yes}Defect_in_node{no,lacunar,lac_margin,lac_central}
Bl_of_lymph_s{no,yes}Changes_in_node{no,lacunar,lac_margin,lac_central}
By_pass{no,yes}Changes_in_stru{no,grainy,drop_like,coarse,diluted,reticular,stripped,faint}
Extravasates{no,yes}Special_forms{no,chalices,vesicles}
Regeneration_of{no,yes}Dislocation_of{no,yes}
Early_uptake_in{no,yes}Exclusion_of_no{no,yes}
Lym_nodes_dimin[0,3]No_of_nodes_in[1,8]
Class{normal,metastases,malign_lymph,fibrosis}

Additional information

This is a domain provided by the Oncology Institute that has repeatedly appeared in the machine learning literature. The task is to detect the presence of a lymphoma and its current status.




In this section you can download some files related to the lymphography data set:

  • The complete data set already formatted in KEEL format can be downloaded from herezip.gif.
  • A copy of the data set already partitioned by means of a 10-folds cross validation procedure can be downloaded from herezip.gif.
  • A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from herezip.gif.
  • The header file associated to this data set can be downloaded from heretxt.png.
  • This is not a native data set from the KEEL project. It has been obtained from the UCI Machine Learning Repository . The original page where the data set can be found is: http://archive.ics.uci.edu/ml/datasets/Lymphography.


 
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